Developing a group model for student software engineering teams

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Date
2004-05-14Author
Winter, Mike F.
Type
ThesisDegree Level
MastersMetadata
Show full item recordAbstract
Work on developing team models for use in adaptive systems generally and intelligent tutoring systems more specifically has largely focused on the task skills or learning efficacy of teams working on short-term projects in highly-controlled virtual environments. In this work, we report on the development of a balanced team model that takes into account task skills, teamwork behaviours and team workflow that has been empirically evaluated via an uncontrolled real-world long-term pilot study of student software engineering teams. We also discuss the use of the the J4.8 machine learning algorithm with our team model in the construction of a team performance prediction system.
Degree
Master of Science (M.Sc.)Department
Computer ScienceProgram
Computer ScienceSupervisor
McCalla, Gordon I.Committee
Renihan, Patrick; Gutwin, Carl; Greer, J. E. (Jim); Deters, RalphCopyright Date
May 2004Subject
User Modelling
Group Modelling
AIEd